Oier Huici Itarte

The research aims to enhance radar systems using innovative frequency selective surfaces (FSS) based on space-time modulated metamaterials. Objectives include designing FSS for radar applications, improving sensitivity, accuracy, and signal-to-noise ratios. Focus areas include adaptability to diverse environments, seamless integration with existing radar tech, and energy-efficient mechanisms for reduced power consumption. Advanced ML/DL algorithms optimize real-time data processing. Reliability testing ensures functionality under various conditions. The study explores cost-effective fabrication and assesses scalability. Compensation for imperfections will be considered using polynomial chaos, stochastic time-domain methodologies, and AI algorithms. Validation includes simulations and real-world tests, with findings disseminated through publications and conferences, benefiting the scientific community and radar technology stakeholders.